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Paper Citation Record · LEDGER

ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.00818.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.00818 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:45.338707Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T10:47:15.120933Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5732010e-74c6-4b7e-96d9-31e1cad12c30 · inbound

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding cites this paper.

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:47:15.122245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T10:44:01.880405Z digest=sha256:ae4d8da3c7c53ce4dd5a575dea2a58243281d910cd5c5851ff7ded1357d3a1cf

Observation db2ffdb7-3d55-4a87-957e-0ddc2a951ffb · inbound

From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining cites this paper.

From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:45.338707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:51:45.338707Z digest=sha256:ffdccaf24cc6bd7f186a7457f5c2517fffbdafefa6d24622c33d20588d7d86fe